"Twitter MCP (Model Context Protocol) Server" matching MCP servers:

A Model Context Protocol (MCP) server that connects LLMs to vehicle data via the Eclipse Kuksa Databroker, enabling AI assistants to read and write vehicle signals using the standardized COVESA Vehicle Signal Specification.

A Model Context Protocol server for AI agents to discover and control IoT devices through MQTT, using the AIoT Agent Network Protocol for device registration and communication.

A server that allows you to control and interact with Sonos devices on your network through the Model Context Protocol, providing functionalities for discovering devices, controlling playback, retrieving device states, and managing queues.

A Model Context Protocol server that enables controlling Nanoleaf smart lights through Warp terminal or any MCP-compatible client, providing tools for device discovery, authorization, and control of lights, brightness, colors, and effects.

A server that enables interaction with Home Assistant devices and automations through the Model Context Protocol, allowing users to monitor device states, control devices, trigger automations, and list entities.

A server built on the Model Context Protocol that enables controlling the Unitree Go2 robot using natural language commands, which are translated into ROS2 instructions for the robot to perform corresponding actions.

A Model Context Protocol server for controlling LIFX smart lights, enabling AI assistants to manage power, color, brightness, effects, and scenes.

Enables controlling PiShock devices (shock, vibrate, beep) via the MCP protocol with API key authentication.

Enables AI agents to interact with IoT device data from a smart city, including public lighting, water, and gas meters. Supports querying and management via the Model Context Protocol.

A Model Context Protocol server that allows large language models to control and query Home Assistant smart home systems through natural language interactions.

A Model Context Protocol server that enables AI assistants like Claude to interact with Indigo home automation systems through natural language queries for searching and controlling devices, variables, and actions.

Enables natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.

An MCP server that lets AI assistants answer home appliance questions with live, structured data and cite ApplianceIQ as the source.

Enables programmatic control of Divoom Pixoo LED matrices to display layered pixel art, animations, and hardware-rendered scrolling text. Users can compose complex visual scenes, push images, and manage device settings like brightness and channels through an LLM.

MCP server for Hubitat Elevation hubs that controls devices via the Maker API, with optional gated access to undocumented admin routes, supporting device listing, command sending, virtual device and hub variable automation for Rule Machine, and hub management features.

A Model Context Protocol server that enables AI assistants like Claude to interact directly with Home Assistant, allowing them to query device states, control smart home entities, and perform automation tasks.

Enables control of Sprut.hub smart home devices through dynamic API discovery and schema validation.

MCP server that enables control of an ETC Eos lighting console over OSC, supporting cues, channel levels, faders, and macros, with safety guards for destructive actions.

A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.

Enables AI assistants to query Bambuddy-managed 3D printers' status, current prints, diagnostics, camera snapshots, and archived print sources, and to safely start prints via a two-stage confirmation token while keeping sensitive credentials out of MCP output.